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1
Dependency locality as an explanatory principle for word order
In: Prof. Levy (2022)
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2
A Systematic Assessment of Syntactic Generalization in Neural Language Models
In: Association for Computational Linguistics (2021)
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3
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
In: Association for Computational Linguistics (2021)
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4
Cognitive Science Honors the Memory of Jeffrey Elman
In: MIT Press (2021)
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5
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
In: Association for Computational Linguistics (2021)
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6
Neural language models as psycholinguistic subjects: Representations of syntactic state
In: Association for Computational Linguistics (2021)
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7
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
In: Association for Computational Linguistics (2021)
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8
Maze Made Easy: Better and easier measurement of incremental processing difficulty
In: Other repository (2021)
Abstract: © 2019 Elsevier Inc. Behavioral measures of incremental language comprehension difficulty form a crucial part of the empirical basis of psycholinguistics. The two most common methods for obtaining these measures have significant limitations: eye tracking studies are resource-intensive, and self-paced reading can yield noisy data with poor localization. These limitations are even more severe for web-based crowdsourcing studies, where eye tracking is infeasible and self-paced reading is vulnerable to inattentive participants. Here we make a case for broader adoption of the Maze task, involving sequential forced choice between each successive word in a sentence and a contextually inappropriate distractor. We leverage natural language processing technology to automate the most researcher-laborious part of Maze – generating distractor materials – and show that the resulting A(uto)-Maze method has dramatically superior statistical power and localization for well-established syntactic ambiguity resolution phenomena. We make our code freely available online for widespread adoption of A-maze by the psycholinguistics community.
URL: https://hdl.handle.net/1721.1/138282
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9
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ...
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10
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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11
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
In: Prof. Fedorenko (2021)
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12
Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
In: PLoS (2021)
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13
Assessing Language Proficiency from Eye Movements in Reading
In: Association for Computational Linguistics (2021)
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14
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections
In: Sage (2021)
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15
Language Learning and Processing in People and Machines
In: Association for Computational Linguistics (2021)
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16
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
In: Wiley (2021)
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17
A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
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18
A Rate–Distortion view of human pragmatic reasoning
In: Proceedings of the Society for Computation in Linguistics (2021)
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19
Towards a Referential Theory of Ellipsis
Poppels, Till. - : eScholarship, University of California, 2020
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20
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
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